## Introduction to Operations Research, Volume 1CD-ROM contains: Student version of MPL Modeling System and its solver CPLEX -- MPL tutorial -- Examples from the text modeled in MPL -- Examples from the text modeled in LINGO/LINDO -- Tutorial software -- Excel add-ins: TreePlan, SensIt, RiskSim, and Premium Solver -- Excel spreadsheet formulations and templates. |

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Page 989

Com- in the

Com- in the

**costs**or the demand rate . ( Unless otherwise noted , consider pare the results ( including the various**costs**) with those ob- each change by itself . ) tained in part ( c ) . ( a ) The setup**cost**is reduced to 25 percent of ...Page 992

Regular - Time Unit

Regular - Time Unit

**Cost**Month Sarah purchases the circus peanuts from Peter's Peanut Shop . She has been purchasing 100 bags at a time . However , to encourage larger purchases , Peter now is offering her discounts for larger order ...Page 998

Using the approximation for finding the optimal polare the units of a perishable product being placed into inven- icy for the stochastic single - period model with a setup

Using the approximation for finding the optimal polare the units of a perishable product being placed into inven- icy for the stochastic single - period model with a setup

**cost**when tory ? demand has an exponential distribution ...### What people are saying - Write a review

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### Other editions - View all

Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |

### Common terms and phrases

activity algebraic algorithm allocation allowable range artificial variables assignment problem augmenting path basic solution Big M method changes coefficients column Consider the following constraint boundary corresponding CPLEX decision variables dual problem dynamic programming entering basic variable example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal goal programming graphically identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LP relaxation lution Maximize Maximize Z maximum flow problem Minimize needed node nonbasic variables objective function obtained optimal solution optimality test path Plant presented in Sec primal problem Prob procedure range to stay resource right-hand sides sensitivity analysis shadow prices slack variables solve this model Solver spreadsheet step subproblem surplus variables tion transportation problem transportation simplex method weeks Wyndor Glass x₁ zero